Learn R Programming for PC Windows

Learn R Programming for Windows

Books & reference For all ages For all ages
1 $6.39

Overview

######## Learn R Programming ######## This app contains tutorials and reports for the all who want to learn R Programming. They can learn easily from this application. Following Chapters included in this Application: #1 Getting started with R Language #2 Variables #3 Arithmetic Operators #4 Matrices #5 Formula #6 Reading and writing strings #7 String manipulation with stringi package #8 Classes #9 Lists #10 Hashmaps #11 Creating vectors #12 Date and Time #13 The Date class #14 Date-time classes (POSIXct and POSIXlt) #15 The character class #16 Numeric classes and storage modes #17 The logical class #18 Data frames #19 Split function #20 Reading and writing tabular data in plain-text files (CSV, TSV, etc.) #21 Pipe operators (%>% and others) #22 Linear Models (Regression) #23 data.table #24 Pivot and unpivot with data.table #25 Bar Chart #26 Base Plotting #27 boxplot #28 ggplot2 #29 Factors #30 Pattern Matching and Replacement #31 Run-length encoding #32 Speeding up tough-to-vectorize code #33 Introduction to Geographical Maps #34 Set operations #35 tidyverse #36 Rcpp #37 Random Numbers Generator #38 Parallel processing #39 Subsetting #40 Debugging #41 Installing packages #42 Inspecting packages #43 Creating packages with devtools #44 Using pipe assignment in your own package %<>% How to ? #45 Arima Models #46 Distribution Functions #47 Shiny #48 spatial analysis #49 sqldf #50 Code profiling #51 Control flow structures #52 Column wise operation #53 JSON #54 RODBC #55 lubridate #56 Time Series and Forecasting #57 strsplit function #58 Web scraping and parsing #59 Generalized linear models #60 Reshaping data between long and wide forms #61 RMarkdown and knitr presentation #62 Scope of variables #63 Performing a Permutation Test #64 xgboost #65 R code vectorization best practices #66 Missing values #67 Hierarchical Linear Modeling #68 *apply family of functions (functionals) #69 Text mining #70 ANOVA #71 Raster and Image Analysis #72 Survival analysis #73 Fault-tolerant/resilient code #74 Reproducible R #75 Fourier Series and Transformations #76 .Rprofile #77 dplyr #78 caret #79 Extracting and Listing Files in Compressed Archives #80 Probability Distributions with R #81 R in LaTeX with knitr #82 Web Crawling in R #83 Creating reports with RMarkdown #84 GPU-accelerated computing #85 heatmap and heatmap.2 #86 Network analysis with the igraph package #87 Functional programming #88 Get user input #89 Spark API (SparkR) #90 Meta Documentation Guidelines #91 Input and output #92 I/O for foreign tables (Excel, SAS, SPSS, Stata) #93 I/O for database tables #94 I/O for geographic data (shapefiles, etc.) #95 I/O for raster images #96 I/O for R's binary format #97 Recycling #98 Expression parse + eval #99 Regular Expression Syntax in R #100 Regular Expressions (regex) #101 Combinatorics #102 Solving ODEs in R #103 Feature Selection in R -- Removing Extraneous Features #104 Bibliography in RMD #105 Writing functions in R #106 Color schemes for graphics #107 Hierarchical clustering with hclust #108 Random Forest Algorithm #109 RESTful R Services #110 Machine learning #111 Using texreg to export models in a paper-ready way #112 Publishing #113 Implement State Machine Pattern using S4 Class #114 Reshape using tidyr #115 Modifying strings by substitution #116 Non-standard evaluation and standard evaluation #117 Randomization #118 Object-Oriented Programming in R #119 Coercion #120 Standardize analyses by writing standalone R scripts #121 Analyze tweets with R #122 Natural language processing #123 R Markdown Notebooks (from RStudio) #124 Aggregating data frames #125 Data acquisition #126 R memento by examples #127 Updating R version

Features

TutorialsReportEasy NavigationChapter Wise DetailsReading Status

Additional Information

  • Developed by iNarendra
  • Version 2022.03.11
  • Requires

    Available on: PC, Mobile, Surface Hub, HoloLens

    OS: Windows 10 version 10240.0 or higher

  • Published 2020-12-14
  • Size 63.17 MB
  • File Type appx/msix
  • Language
    English (United States)
  • Permissions

    Access your Internet connection

  • Microsoft Store ID 9pd1h8nw7nvt

How to download and install Learn R Programming from the Microsoft

To download and install Learn R Programming for PC from Microsoft, here are two methods you can follow. You can access the app directly on the Microsoft Store.

Method 1: Download and Install via the Microsoft Store

This is the most straightforward and secure way to get Learn R Programming.

Step 1: Open the Microsoft Store

  • Click the Start Menu (Windows logo) at the bottom-left corner of your screen.
  • Search for Microsoft Store in the search bar and open it.
  • Step 2: Search for Learn R Programming

  • In the Microsoft Store, type Learn R Programming into the search bar at the top and press Enter.
  • Select the app from the search results to open its detail page.
  • Step 3: Download and Install

  • Click the Get button (if the app is free) or Install to begin the download.
  • The app will automatically install after the download is complete.
  • Step 4: Access the App

  • Once installed, you can find Learn R Programming in your Start Menu or Apps List.
  • Open the app and follow the on-screen instructions to use.
  • Method 2: Download from the Official Microsoft Website

    If you prefer downloading directly from the web, you can use the official Microsoft website.

    Step 1: Visit the Learn R Programming Page

  • Open your browser and go to the Learn R Programming page
  • Step 2: Download the App

  • Click the Get in Store app button on the webpage.
  • This will redirect you to the Microsoft Store app on your PC.
  • Step 3: Install Learn R Programming

  • Follow the same steps as in Method 1 to download and install Learn R Programming.
  • Step 4: Use Learn R Programming

  • Launch Learn R Programming from your Start Menu or Apps List.
  • Tips for a Smooth Installation

  • Ensure your PC is connected to the internet.
  • Keep your Windows operating system updated for the best performance.
  • Conclusion:

    Both methods ultimately utilize the Microsoft Store, ensuring the app's safety and reliability. Whether you prefer browsing within the Store or starting via the website, both approaches lead you to successfully download and install Learn R Programming.
    Learn R Programming for PC Windows

    Learn R Programming for PC

    1 $6.39

    Learn R Programming FAQs

    How to download and Install Learn R Programming on Windows PC via the NWindows Store
    How to Search and Download Learn R Programming for PC Windows?

    Old versions

    Learn R Programming 2022.03.11

    EXE
    MSIX
    APPX
    32 bit
    64 bit
    2022-03-11

    Learn R Programming for PC Windows

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